A Proposed Solution to the Archiving and Curation of Confidential Scientific Inputs

  • John M. Abowd
  • Lars Vilhuber
  • William Block
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7556)

Abstract

We develop the core of a method for solving the data archive and curation problem that confronts the custodians of restricted-access research data and the scientific users of such data. Our solution recognizes the dual protections afforded by physical security and access limitation protocols. It is based on extensible tools and can be easily incorporated into existing instructional materials.

Keywords

Data Archive Data Curation Statistical Disclosure Limitation Privacy-preserving Datamining 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • John M. Abowd
    • 1
  • Lars Vilhuber
    • 1
  • William Block
    • 2
  1. 1.Department of Economics and Labor Dynamics InstituteCornell UniversityIthacaUSA
  2. 2.Cornell Institute for Social and Economic ResearchCornell UniversityIthacaUSA

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